Commodities Price Prediction Based on Stock Market Algorithm: Returns up to 24.69% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 8 out 10 trades. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 24.69%. Other notable stocks were CME_RB1 and PALL with a return of 19.70% and 9.92%. The package had an overall average return of 6.47% during the period.

Commodity Price Prediction Based on Genetic Algorithms: Returns up to 5.47% in 3 Days

I Know First’s State of the Art Algorithm accurately forecasted 9 out of 10 trades in this Commodities Package for the 3 Days time period. The greatest return came from ^JPLAT at 5.47%. CME_CL1 and ^APAPR.T also performed well for this time horizon with returns of 3.05% and 2.01%, respectively. The package had an overall average return of 1.41% during the period.

Commodities Prediction Based on Machine Learning: Returns up to 6.99% in 7 Days

For this 7 Days forecast the algorithm had successfully predicted 8 out of 10 movements. The highest trade return came from ^JPLAT, at 6.99%. The suggested trades for Zinc and CME_CL1 also had notable 7 Days yields of 3.32% and 3.28%, respectively. The package had an overall average return of 2.18% during the period.

Commodity Outlook Based on Algo Trading: Returns up to 21.38% in 1 Month

In this 1 Month forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 8 out 10 trades. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 21.38%. Other notable stocks were CME_RB1 and PALL with a return of 18.11% and 8.36%. The package had an overall average return of 5.72% during the period.

Commodity Market Trends Based on a Self-learning Algorithm: Returns up to 17.05% in 14 Days

The algorithm correctly predicted 6 out 10 of the suggested trades in the Commodities Package for this 14 Days forecast. CME_RB1 was the highest-earning trade with a return of 17.05% in 14 Days. Additional high returns came from CME_WS1 and CME_CL1, at 4.97% and 4.97% respectively. The package had an overall average return of 2.71% during the period.

Commodity Forecast Based on Genetic Algorithms: Returns up to 17.49% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 5 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from CME_RB1 at 17.49%. ^JPLAT and ICE_B1 also performed well for this time horizon with returns of 7.40% and 2.81%, respectively. The package had an overall average return of 2.01% during the period.

Commodity Outlook Based on Algorithmic Trading: Returns up to 24.56% in 1 Month

For this 1 Month forecast the algorithm had successfully predicted 7 out of 10 movements. The highest trade return came from CME_RB1, at 24.56%. The suggested trades for CME_CL1 and ICE_B1 also had notable 1 Month yields of 6.35% and 5.86%, respectively. The package had an overall average return of 4.27% during the period.

Commodity Market Review: Platinum’s Remarkable Rise Of 86.96% Over The Past Year

Summary: Platinum (^JPLAT) sees a remarkable return over the past month with a return of 29.96%. Platinum has consistently risen over the past year with an increase of +86.96% over the last year. A drop in U.S. gasoline stockpiles that was more than double market expectations lifted futures prices for the fuel to their highest […]

Commodities Outlook Based on Algorithmic Trading: Returns up to 24.56% in 1 Month

The algorithm correctly predicted 7 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. CME_RB1 was the highest-earning trade with a return of 24.56% in 1 Month. Additional high returns came from CME_CL1 and ICE_B1, at 6.35% and 5.86% respectively. The package had an overall average return of 4.27% during the period.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 13.02% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 6 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from CME_RB1 at 13.02%. ^JPLAT and Nickel also performed well for this time horizon with returns of 8.69% and 7.20%, respectively. The package had an overall average return of 1.86% during the period.

Commodity Outlook Based on Artificial Intelligence: Returns up to 12.37% in 14 Days

7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. CME_RB1 was our best stock pick this week a return of 12.37%. ^JPLAT and PALL followed with returns of 10.90% and 4.86% for the 14 Days period. The package had an overall average return of 2.17% during the period.

Commodities Price Outlook Based on Stock Algorithm: Returns up to 15.26% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 15.26%. CME_RB1 and PALL saw outstanding returns of 10.01% and 6.27%. The package had an overall average return of 3.52% during the period.

Commodity Market Review: Energy Continues to Climb with Gasoline Up 11.21%

Commodity Market Review: Summary: Gasoline (CME_RB1) and Crude Oil (CME_CL1) are both on the rise with increases of 21% and 6.16% respectively over the past 14 days. Platinum and Palladium Dominate the Commodity Exchanges. These commodities have seen a remarkable rise over the past few months and do not seem to be slowing down. Source: […]

Commodities Price Prediction Based on Artificial Intelligence: Returns up to 21.61% in 14 Days

In this 14 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 8 out 10 trades. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 21.61%. Other notable trades were CME_RB1 and PALL with a return of 11.21% and 9.88%. The package had an overall average return of 5.94% during the period.

Commodities Price Forecast Based on Machine Learning: Returns up to 11.21% in 14 Days

I Know First’s State of the Art Algorithm accurately forecasted 7 out of 10 trades in this Commodities Package for the 14 Days time period. The greatest return came from CME_RB1 at 11.21%. SHFE_RU1 and CME_CL1 also performed well for this time horizon with returns of 6.75% and 6.16%, respectively. The package had an overall average return of 3.16% during the period.

Commodities Forecast Based on a Self-learning Algorithm: Returns up to 11.15% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. CME_RB1 was the top performing prediction with a return of 11.15%. SHFE_RU1 and CME_CL1 saw outstanding returns of 7.64% and 4.52%. The package had an overall average return of 2.98% during the period.

Commodities Price Predictions Based on Artificial Intelligence: Returns up to 14.96% in 14 Days

Several predictions in this short-term 14 Days forecast saw significant returns. The algorithm had correctly predicted 10 out 10 stock movements. ^JPLAT was the top performing prediction with a return of 14.96%. PALL and CME_RB1 saw outstanding returns of 13.00% and 8.88%. The package had an overall average return of 6.93% during the period.

Commodities Price Forecast Based on Artificial Intelligence: Returns up to 5.64% in 7 Days

This Commodities Package forecast had correctly predicted 8 out of 10 stock movements. The top performing prediction from this package was SHFE_RU1 with a return of 5.64%. SHFE_CU5, and SHFE_CU9 had notable returns of 4.01% and 3.90%. The package had an overall average return of 2.10% during the period.